China Hyperscale Data Center Market Size & Share Analysis - Growth Trends and Forecast (2025 - 2031)

The China Hyperscale Data Center Market is Segmented by Data Center Type (Hyperscale Self-Build, Hyperscale Colocation), Component (IT Infrastructure, Electrical Infrastructure, and More), Tier Standard (Tier III, Tier IV), End-User Industry (Cloud & IT Services, Telecom, and More), Data Center Size (Large ≤25 MW, and More). The Market Size and Forecasts are Provided in Terms of Value (USD).

China Hyperscale Data Center Market Size and Share

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China Hyperscale Data Center Market Analysis by Mordor Intelligence

The China hyperscale data center market size stands at USD 7.81 billion in 2025 and is forecast to reach USD 41.59 billion by 2031, advancing at a 32.12% CAGR. Robust growth is supported by artificial-intelligence workload expansion, sovereign-computing mandates, and the Eastern Data Western Computing program that channels capacity toward renewable-rich western provinces. Total installed IT load will more than double from 5,327.78 MW in 2025 to 11,942.22 MW by 2031, reflecting a 14.40% volume CAGR. Liquid-cooled racks exceeding 100 kW are proliferating in Beijing-Tianjin-Hebei and the Yangtze Delta as operators adapt to large-language-model training requirements. Carrier initiatives such as China Mobile’s 6.7 EFLOPS supercomputing hub in Inner Mongolia underscore the AI-optimized buildout.

Key Report Takeaways

  • By data center type, hyperscale self-build held 65% of the China hyperscale data center market share in 2024; hyperscale colocation is projected to expand at a 32.80% CAGR through 2030.
  • By component, IT infrastructure accounted for 48% share of the China hyperscale data center market size in 2024, while DCIM/BMS solutions are forecast to grow at a 33.40% CAGR to 2030.
  • By tier standard, Tier III facilities captured 73% revenue share in 2024; Tier IV deployments are advancing at a 32.20% CAGR through 2030.
  • By end-user industry, cloud and IT services held 50% share of the China hyperscale data center market size in 2024, whereas government demand is rising at a 33.90% CAGR to 2030.
  • By data center size, massive sites (25-60 MW) led with 40% revenue share in 2024; mega-scale facilities (>60 MW) are recording the fastest CAGR at 34.50% through 2030.

Segment Analysis

By Data Center Type: self-build remains dominant as colocation accelerates

Self-builds controlled 65% revenue in 2024 because cloud majors seek bespoke architectures for AI clusters reaching 20-130 kW per cabinet. They integrate proprietary fabrics, liquid-cooling manifolds, and automation suites to optimize training throughput. Hyperscale colocation grows quickly at a 32.80% CAGR, giving enterprises immediate access to AI-ready rooms without multi-billion-yuan capex. Foreign-ownership liberalization in Beijing, Shanghai, and Shenzhen is expected to introduce global landlords, widening service choice. As a result, the China hyperscale data center market sees dual-track expansion: hyperscalers keep building owner-operated campuses, while colocation specialists scale suburban and western plots.

DCIM suites underpin both models. Operators deploy AI-driven orchestration that monitors power, coolant flow, and GPU utilization in real time. This operational maturity attracts financial investors; GDS’s C-REIT drew orders 166 times subscribed, signalling confidence in stable cash flows. Over the forecast period, the China hyperscale data center industry will balance the agility of colocation with the control of self-builds, creating hybrid capacity procurement strategies.

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By Component: IT infrastructure leads and DCIM/BMS surges

Servers, storage, and GPUs represented 48% of spending in 2024. China Mobile procured 2,454 AI servers in the 2023-2024 cycle, reflecting urgency to resource knowledge-graph and video-analysis workloads. Network upgrades to 400G/800G Ethernet switches, such as IEIT SYSTEMS’ X400, lift east-west traffic capacity to 102.4 Tbps. Electrical gear—PDUs and UPS—follows server density upward, while direct-chip cooling skids, cold plates, and immersion tanks dominate mechanical budgets.

DCIM/BMS grows fastest at 33.40% CAGR because facilities exceeding 100 kW per rack require telemetry granularity unmatched by legacy SCADA tools. Huawei’s intelligent-analysis network locates faults automatically and advises energy-saving actions, shrinking mean-time-to-repair. As AI cluster complexity rises, advanced management software becomes foundational, ensuring the China hyperscale data center market operates within energy and carbon constraints.

By Tier Standard: Tier III dominates yet Tier IV accelerates

Tier III halls occupied 73% of floor space in 2024, offering 99.982% availability at moderate cost. Operators enhance basic Tier III by doubling backup lines and adding closed-loop liquid-cooling to accommodate AI loads, yielding “Tier III+” specifications. Mission-critical inference and financial records prompt Tier IV adoption, expanding at 32.20% CAGR. China Mobile’s Inner Mongolia campus exemplifies Tier IV design with dual power grids and N+2 chilled-water capacity. Regulatory frameworks in banking and government also steer deployments toward Tier IV equivalence, further diversifying the China hyperscale data center market.

By End-user Industry: cloud services lead, government demand surges

Cloud and IT services captured 50% revenue in 2024 as Alibaba, Huawei, Tencent, and Baidu scaled large-model inference platforms. China’s cloud-infrastructure spending will rise 15% to USD 11.1 billion in 2025, ensuring steady occupancy rates. The government segment, expanding at 33.90% CAGR, aggregates ministry systems onto unified computing backbones, following the “1+N+N+1” model championed by H3C. BFSI upgrades modernize core ledgers for digital yuan settlement, while manufacturers implement predictive-maintenance algorithms that cut downtime by 70 %, echoing Midea Group’s achievements. This diversified user portfolio underpins long-term growth for the China hyperscale data center industry.

China Hyperscale Data Center Market: Market Share by End-user Industry
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Note: Segment shares of all individual segments available upon report purchase

By Data Center Size: massive sites lead, mega-scale accelerates

Massive campuses of 25-60 MW held a 40% stake in 2024, balancing modular replication with economies of scale. Operators favour this range to match grid-connection quotas while leaving headroom for phased expansion. Mega-facilities above 60 MW progress fastest at 34.50% CAGR. ByteDance’s USD 614 million Shanxi build showcases mega-scale economics where one campus aggregates compute power otherwise spread across many city blocks. Large facilities below 25 MW continue to serve edge analytics and provincial e-government but are losing revenue share as the China hyperscale data center market consolidates into multi-module giants.

Geography Analysis

East China remains the principal hub by value, anchored by Shanghai’s financial ecosystem and Zhejiang’s e-commerce networks. Power quotas spur advanced cooling and offshore-wind solutions, such as HiCloud’s underwater unit near Shanghai that sidesteps land constraints. North China records the fastest CAGR as Inner Mongolia pairs cool climate with wind-solar abundance. China Mobile’s Hohhot hub aligns with policy that channels 60% of new racks westward, demonstrating scale with 6.7 EFLOPS compute. Beijing sustains premium demand from AI research institutes, reinforcing inter-regional traffic growth on upgraded optical backbones.

South China grows steadily thanks to Guangdong’s plan for 1 million racks by 2025, leveraging proximity to Hong Kong for cross-border cloud trade. West China benefits from Qingyang’s industrial park attracting 300 firms under east-data-west-computing incentives. Central China emerges as a transit node; Zhengzhou targets a USD 56 billion digital economy by 2025, catalysing prefabricated data-center clusters near fibre crossroads . These regional dynamics confirm that the China hyperscale data center market diversifies geographically while staying tethered through national 1.2-terabit backbones.

Competitive Landscape

Market concentration is moderate. Alibaba Cloud, Huawei Cloud, Tencent Cloud, and Baidu AI Cloud account for 71% of public-cloud revenue, securing anchor-tenant status at most hyperscale sites. State-owned operators—China Mobile, China Telecom, China Unicom—exploit network assets to win government and enterprise contracts, intensifying bidding wars. Data-center specialists like GDS, Chindata, and VNET differentiate via AI-ready colocation, renewable-energy sourcing, and capital-markets innovation such as China’s first data-center C-REIT.

Strategic moves include vertical integration—Alibaba pledged USD 53 billion over three years for global AI infrastructure—and horizontal alliances, with GDS opening suburban Tianjin capacity through a tripartite deal with two telcos. Emerging disruptors pursue niche technologies: HiCloud experiments with submerged modules, while Zhitiao Network patents distributed-storage acceleration. Technology adoption speed, rather than asset count, is becoming the decisive advantage across the Chinese hyperscale data center industry.

China Hyperscale Data Center Industry Leaders

  1. Alibaba Cloud

  2. Tencent Holdings Ltd.

  3. Huawei Technologies Co., Ltd.

  4. GDS Holdings

  5. Chindata Group

  6. *Disclaimer: Major Players sorted in no particular order
China Hyperscale Data Center Market
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Recent Industry Developments

  • July 2025: China Mobile acquired a 15% stake in HKBN, strengthening Hong Kong connectivity for hyperscale operations.
  • July 2024: GDS Holdings completed its C-REIT IPO on the Shanghai Stock Exchange, raising CNY 1.933 billion
  • June 2024: Huawei Cloud unveiled Pangu 5.5 models and AI Cloud Service using CloudMatrix 384 supernodes.
  • June 2025: Alibaba Cloud announced a second South Korea data center by the end of June 2025

Table of Contents for China Hyperscale Data Center Industry Report

1. INTRODUCTION

  • 1.1 Study Assumptions and Market Definition
  • 1.2 Scope of the Study

2. RESEARCH METHODOLOGY

3. EXECUTIVE SUMMARY

4. MARKET LANDSCAPE

  • 4.1 Market Overview
  • 4.2 Market Drivers
    • 4.2.1 GenAI and LLM training racks (>100 kW, liquid cooled) in Beijing-Tianjin-Hebei and Yangtze Delta
    • 4.2.2 State “New-Infrastructure” push extending hyperscale builds to 2nd-tier western cities
    • 4.2.3 400G/800G optical backbone upgrades cutting latency for real-time cloud apps
    • 4.2.4 Renewable-energy quotas enabling GW-scale wind/solar data parks in Inner Mongolia and Gansu
    • 4.2.5 Pilot SMR (small-modular-reactor) micro-nukes co-located with coastal campuses (under-reported)
    • 4.2.6 AI-for-semiconductor yield clusters demanding sovereign on-prem compute (under-reported)
  • 4.3 Market Restraints
    • 4.3.1 Power-access quotas in Tier-1 metros (caps >50 MW)
    • 4.3.2 Water-use licensing limits on evaporative cooling in North-China plain
    • 4.3.3 GPU and HBM export-control shortages (A/H series)
    • 4.3.4 Mandatory 2027 carbon-peak forcing decommission of PUE > 1.6 halls (under-reported)
  • 4.4 Value / Supply-Chain Analysis
  • 4.5 Technological Outlook

5. ARTIFICIAL INTELLIGENCE (AI) INCLUSION IN HYPERSCALE DATA CENTER (Sub-segments are subject to change depending on Data Recency)

  • 5.1 AI Workload Impact: Rise of GPU-Packed Racks and High Thermal Load Management
  • 5.2 Rapid Shift toward 400G and 800G Ethernet – Local OEM Integration and Compatibility Demands
  • 5.3 Innovations in Liquid Cooling: Immersion and Cold Plate Trends
  • 5.4 AI-Based Data Center Management (DCIM) Adoption – Role of Cloud Providers

6. REGULATORY & COMPLIANCE FRAMEWORK

7. KEY DATA CENTER STATISTICS

  • 7.1 Existing Hyperscale Data Center Facilities in China (in MW) (Hyperscale Self build VS Colocation)
  • 7.2 List of Upcoming Hyperscale Data Center in China
  • 7.3 List of Hyperscale Data Center Operators in China
  • 7.4 Analysis on Data Center CAPEX in China

8. MARKET SIZE AND GROWTH FORECASTS (VALUE AND VOLUME)

  • 8.1 By Data Center Type
    • 8.1.1 Hyperscale Self-build
    • 8.1.2 Hyperscale Colocation
  • 8.2 By Component
    • 8.2.1 IT Infrastructure
    • 8.2.1.1 Server Infrastructure
    • 8.2.1.2 Storage Infrastructure
    • 8.2.1.3 Network Infrastructure
    • 8.2.2 Electrical Infrastructure
    • 8.2.2.1 Power Distribution Unit
    • 8.2.2.2 Transfer Switches and Switchgear
    • 8.2.2.3 UPS Systems
    • 8.2.2.4 Generators
    • 8.2.2.5 Other Electrical Infrastructure
    • 8.2.3 Mechanical Infrastructure
    • 8.2.3.1 Cooling Systems
    • 8.2.3.2 Racks
    • 8.2.3.3 Other Mechanical Infrastructure
    • 8.2.4 General Construction
    • 8.2.4.1 Core and Shell Development
    • 8.2.4.2 Installation and Commissioning
    • 8.2.4.3 Design Engineering
    • 8.2.4.4 Fire, Security and Physical Protection
    • 8.2.4.5 DCIM / BMS Solutions
  • 8.3 By Tier Standard
    • 8.3.1 Tier III
    • 8.3.2 Tier IV
  • 8.4 By End-user Industry
    • 8.4.1 Cloud and IT Services
    • 8.4.2 Telecom
    • 8.4.3 Media and Entertainment
    • 8.4.4 Government
    • 8.4.5 BFSI
    • 8.4.6 Manufacturing
    • 8.4.7 E-Commerce
    • 8.4.8 Other End-users
  • 8.5 By Data Center Size
    • 8.5.1 Large ( Less than or equal to 25 MW)
    • 8.5.2 Massive (Greater than 25 MW and Less than equal to 60 MW)
    • 8.5.3 Mega (Greater than 60 MW)

9. COMPETITIVE LANDSCAPE

  • 9.1 Market Share Analysis
  • 9.2 Company Profiles {(includes Global level Overview, Market level overview, Core Segments, Financials as available, Strategic Information, Market Rank/Share, Products and Services, Recent Developments)}
    • 9.2.1 Alibaba Cloud
    • 9.2.2 Tencent Cloud
    • 9.2.3 Huawei Cloud
    • 9.2.4 Baidu AI Cloud
    • 9.2.5 JD Cloud
    • 9.2.6 ByteDance (Volcengine)
    • 9.2.7 China Telecom (CTYun)
    • 9.2.8 China Mobile Cloud
    • 9.2.9 China Unicom Cloud
    • 9.2.10 GDS Holdings
    • 9.2.11 Chindata Group
    • 9.2.12 VNET (21Vianet)
    • 9.2.13 Shanghai AThub
    • 9.2.14 Sinnet (Beijing) – AWS China Partner
    • 9.2.15 Apple Guizhou Data Center (Cloud Services)
    • 9.2.16 QingCloud Technologies
    • 9.2.17 Lenovo (DC Infrastructure)
    • 9.2.18 Inspur Digital Enterprise
    • 9.2.19 H3C Technologies
    • 9.2.20 China Resources Data Center (Heze)
    • 9.2.21 China Electronics Corporation (CEC)
    • 9.2.22 Beijing Union Big Data Center (UBDC)
    • 9.2.23 Vantage Data Centers APAC
    • 9.2.24 EdgeConneX China JV

10. MARKET OPPORTUNITIES AND FUTURE OUTLOOK

  • 10.1 White-space and Unmet-Need Assessment
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China Hyperscale Data Center Market Report Scope

Hyperscale data centers, also known as Enterprise colocation/cloud hyperscale facilities, are large-scale infrastructures owned and managed by the companies they support. These centers deliver a wide range of scalable applications and storage services to meet the needs of individuals and businesses. Designed for efficiency, they house thousands of servers alongside critical hardware like routers, switches, and storage disks. To ensure seamless operations, these facilities are equipped with advanced support systems, including power and cooling solutions, uninterruptible power supplies (UPS), and air distribution networks.

The China Hyperscale Datacenter Market is Segmented by Data Center Type (Hyperscale Colocation, Enterprise/Hyperscale Self Build), By Service Type (IaaS ( Infrastructure-as-a-Service), PaaS ( Platform-as-a-Service), SaaS( Software-as-a-Service)), By End User (Cloud & IT, Telecom, Media & Entertainment, Government, BFSI, Manufacturing, E-Commerce, Other End User). The Report Offers the Market Size and Forecasts for all the Above Segments in Terms of USD (millions).

By Data Center Type Hyperscale Self-build
Hyperscale Colocation
By Component IT Infrastructure Server Infrastructure
Storage Infrastructure
Network Infrastructure
Electrical Infrastructure Power Distribution Unit
Transfer Switches and Switchgear
UPS Systems
Generators
Other Electrical Infrastructure
Mechanical Infrastructure Cooling Systems
Racks
Other Mechanical Infrastructure
General Construction Core and Shell Development
Installation and Commissioning
Design Engineering
Fire, Security and Physical Protection
DCIM / BMS Solutions
By Tier Standard Tier III
Tier IV
By End-user Industry Cloud and IT Services
Telecom
Media and Entertainment
Government
BFSI
Manufacturing
E-Commerce
Other End-users
By Data Center Size Large ( Less than or equal to 25 MW)
Massive (Greater than 25 MW and Less than equal to 60 MW)
Mega (Greater than 60 MW)
By Data Center Type
Hyperscale Self-build
Hyperscale Colocation
By Component
IT Infrastructure Server Infrastructure
Storage Infrastructure
Network Infrastructure
Electrical Infrastructure Power Distribution Unit
Transfer Switches and Switchgear
UPS Systems
Generators
Other Electrical Infrastructure
Mechanical Infrastructure Cooling Systems
Racks
Other Mechanical Infrastructure
General Construction Core and Shell Development
Installation and Commissioning
Design Engineering
Fire, Security and Physical Protection
DCIM / BMS Solutions
By Tier Standard
Tier III
Tier IV
By End-user Industry
Cloud and IT Services
Telecom
Media and Entertainment
Government
BFSI
Manufacturing
E-Commerce
Other End-users
By Data Center Size
Large ( Less than or equal to 25 MW)
Massive (Greater than 25 MW and Less than equal to 60 MW)
Mega (Greater than 60 MW)
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Key Questions Answered in the Report

What is the current value of the China hyperscale data center market?

The market is valued at USD 7,819.56 million in 2025.

How quickly is the market expected to grow?

It is projected to post a 32.12% CAGR and reach USD 41,596.75 million by 2031.

Which segment expands fastest?

Hyperscale colocation shows the highest projected CAGR at 32.80% through 2030.

Why are western provinces attracting data centers?

Policy incentives and abundant renewable energy under Eastern Data Western Computing shift 60% of new capacity westward.

How are power-density challenges addressed?

Operators deploy liquid-cooling technologies capable of handling racks above 100 kW and adopt AI-driven DCIM for resource management.

What impact do GPU export controls have?

Restrictions slow high-performance cluster deployments, prompting greater use of domestic GPU alternatives and inventory strategies.

Page last updated on: August 5, 2025